Featured
Aug
4
Self-Driving Labs Are Rewriting the Clock on Discovery
North Carolina State University Now Runs the Largest Academic Self-Driving Lab Ecosystem in the US.
Featured
Jul
14
High-throughput solid microsampling through stochastic robotic automation
Solid sampling at the sub-milligram and milligram scale remains a major bottleneck for high-throughput chemistry or material sciences, as existing approaches rely on manual handling or slow deterministic microsampling that do not readily scale.
Here we present STORMS, an automated STOchastic Robotic MicroSampling system that enables fast, reliable and parallel sampling of solid materials at sub-milligram and milligram masses.
Jun
30
Parameter efficient multi-model vision assistant for polymer solvation behaviour inference
Polymer–solvent systems exhibit complex solvation behaviours encompassing a diverse range of phenomena, including swelling, gelation, and dispersion. Accurate interpretation is often hindered by subjectivity, particularly in manual rapid screening assessments. While computer vision models hold significant promise to replace the reliance on human evaluation for inference, their adoption is limited by the lack of domain-specific datasets tailored, in our case, to polymer–solvent systems.
Chemspeed is a global team committed to enable automated and digitalized workflows for scientists in R&D and QC.
© Chemspeed (part of Bruker) 2026